CN116147512B - Airport runway snow thickness acquisition method and device, storage medium and electronic equipment - Google Patents

Airport runway snow thickness acquisition method and device, storage medium and electronic equipment Download PDF

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CN116147512B
CN116147512B CN202310434857.3A CN202310434857A CN116147512B CN 116147512 B CN116147512 B CN 116147512B CN 202310434857 A CN202310434857 A CN 202310434857A CN 116147512 B CN116147512 B CN 116147512B
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刘培刚
何鹏
潘光绪
戈磊
张静雨
邓平
温鑫
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Civil Aviation Electronic Technology Co ltd
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    • G01BMEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
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Abstract

The embodiment of the application discloses an airport runway snow thickness acquisition method, device, storage medium and electronic equipment relates to snow thickness measurement technical field, includes: acquiring the actual distance between a measuring point and the snow surface; obtaining the snow thickness of a plurality of prefabricated points according to the first relative distance, the second relative distance, the preset angle and the actual distance; and obtaining the snow thickness of the airfield runway according to the target demand and the snow thickness of the prefabricated points. According to the method, the section center line of the airfield runway is used for dividing the airfield runway into two symmetrical runway halves, under the cooperation of the prefabricated points, the airfield runway is measured to the prefabricated points only by the preset angle, and finally the snow thickness of the airfield runway is represented according to the actual demand output snow thickness, so that the timeliness of manual ruler measurement is poor, the snow thickness condition of each part in the width direction of the runway can be mastered in real time, and the detection accuracy of the snow thickness on the airfield runway is improved.

Description

Airport runway snow thickness acquisition method and device, storage medium and electronic equipment
Technical Field
The application relates to the technical field of snow thickness measurement, in particular to an airport runway snow thickness acquisition method, an airport runway snow thickness acquisition device, a storage medium and electronic equipment.
Background
The snow thickness of the airport runway seriously affects the use efficiency of the airport runway and the running safety of the airplane, and the detection of the snow thickness of the airport runway at present depends on the manual ruler detection or the experience judgment of snow removing personnel, and the detected quality is low due to two aspects: firstly, limited by the safety regulations of airports, workers cannot go to the road at any time for detection, and the timeliness of data is poor; secondly, the reliability is low because the experience judgment is influenced by the observation distance and personal experience.
Disclosure of Invention
The main object of the application is to provide a method, a device, a storage medium and electronic equipment for acquiring the snow thickness of an airport runway, and aims to solve the problem of low detection accuracy of the snow thickness on the airport runway in the prior art.
In order to achieve the above purpose, the technical solution adopted in the embodiments of the present application is as follows:
in a first aspect, an embodiment of the present application provides a method for obtaining an airport runway snow thickness, including the following steps:
respectively acquiring the actual distance between a measuring point and the snow surface on the nearest runway half area under a plurality of preset angles; the runway half area is obtained by dividing the airport runway according to the central line of the section of the airport runway, a plurality of preset angles are respectively obtained based on a plurality of prefabricated points, the plurality of prefabricated points are arranged on the surface of the runway half area, the prefabricated points on the same runway half area are positioned on the same virtual arc, and the depth of the virtual arc is equal to the width of the runway half area;
obtaining the snow thickness of a plurality of prefabricated points according to the first relative distance, the second relative distance, the preset angle and the actual distance; the first relative distance is the relative distance between the measuring point and the airport runway, and the second relative distance is the relative distance between the measuring point and the prefabricated point;
wherein the first relative distance comprises: measuring the horizontal distance of the point from the boundary of the airport runway and the vertical distance of the point from the boundary of the airport runway; the preset angle includes: measuring the depression angle of the point;
according to first relative distance, second relative distance, preset angle and actual distance, obtain the snow thickness of a plurality of prefabricated points, include:
according to the horizontal distance between the measuring point and the boundary of the airport runway, the vertical distance between the measuring point and the boundary of the airport runway, the preset angle, the second relative distance and the actual distance, the snow thickness of a plurality of prefabricated points is calculated by adopting the following formula:
Figure SMS_1
wherein H1 is the snow thickness of the prefabricated point, L is the relative distance between the measuring point and the prefabricated point, L1 is the actual distance, H is the vertical distance between the measuring point and the boundary line of the airport runway, d is the horizontal distance between the measuring point and the boundary line of the airport runway, and theta 1 is the depression angle of the measuring point;
and obtaining the snow thickness of the airfield runway according to the target demand and the snow thickness of the prefabricated points.
In one possible implementation manner of the first aspect, before acquiring the actual distances between the measuring points and the snow surface on the nearest runway half at a plurality of preset angles, the method for acquiring the snow thickness of the runway further includes:
according to the section center line of the airfield runway, dividing the airfield runway to obtain two runway half areas symmetrical about the section center line.
In one possible implementation manner of the first aspect, according to the target requirement and the snow thickness of the prefabricated point, the snow thickness of the airfield runway is obtained, including:
according to the target requirement of obtaining the snow thickness on the target strip of the airport runway, obtaining the snow thickness of all prefabricated points on the target strip;
and obtaining the snow thickness of the target strip of the airfield runway according to the average value of the snow thickness of all the prefabricated points on the target strip.
In one possible implementation manner of the first aspect, before obtaining the snow thickness of all the prefabricated points on the target strip according to the target requirement of obtaining the snow thickness on the target strip of the airport runway, the airport runway snow thickness obtaining method further includes:
dividing the airport runway in the width direction and parallel to the central line of the airport runway to obtain a plurality of parallel strips;
a target strip of the airport runway is determined from the strips according to the target demand.
In a possible implementation manner of the first aspect, the plurality of prefabricated points are uniformly distributed along the virtual circular arc.
In a second aspect, an embodiment of the present application provides an airport runway snow thickness obtaining apparatus, including:
the distance acquisition module is used for respectively acquiring the actual distance between the measuring point and the snow surface on the nearest runway half area under a plurality of preset angles; the runway half area is obtained by dividing the airport runway according to the central line of the section of the airport runway, a plurality of preset angles are respectively obtained based on a plurality of prefabricated points, the plurality of prefabricated points are arranged on the surface of the runway half area, the prefabricated points on the same runway half area are positioned on the same virtual arc, and the depth of the virtual arc is equal to the width of the runway half area;
the first snow thickness acquisition module is used for acquiring snow thickness of a plurality of prefabricated points according to the first relative distance, the second relative distance, the preset angle and the actual distance; the first relative distance is the relative distance between the measuring point and the airport runway, and the second relative distance is the relative distance between the measuring point and the prefabricated point;
wherein the first relative distance comprises: measuring the horizontal distance of the point from the boundary of the airport runway and the vertical distance of the point from the boundary of the airport runway; the preset angle includes: measuring the depression angle of the point;
according to first relative distance, second relative distance, preset angle and actual distance, obtain the snow thickness of a plurality of prefabricated points, include:
according to the horizontal distance between the measuring point and the boundary of the airport runway, the vertical distance between the measuring point and the boundary of the airport runway, the preset angle, the second relative distance and the actual distance, the snow thickness of a plurality of prefabricated points is calculated by adopting the following formula:
Figure SMS_2
wherein H1 is the snow thickness of the prefabricated point, L is the relative distance between the measuring point and the prefabricated point, L1 is the actual distance, H is the vertical distance between the measuring point and the boundary line of the airport runway, d is the horizontal distance between the measuring point and the boundary line of the airport runway, and theta 1 is the depression angle of the measuring point;
the second snow thickness acquisition module is used for obtaining the snow thickness of the airfield runway according to the snow thickness of the target demand and the prefabricated points.
In a third aspect, an embodiment of the present application provides a computer readable storage medium storing a computer program, where the computer program when loaded and executed by a processor implements the method for obtaining snow thickness of an airfield runway according to any one of the first aspect.
In a fourth aspect, embodiments of the present application provide an electronic device comprising a processor and a memory, wherein,
the memory is used for storing a computer program;
the processor is configured to load and execute a computer program to cause the electronic device to perform the airport runway snow thickness acquisition method provided in any of the first aspects above.
Compared with the prior art, the beneficial effects of this application are:
the embodiment of the application provides a method and a device for acquiring snow thickness of an airport runway, a storage medium and electronic equipment, wherein the method comprises the following steps: respectively acquiring the actual distance between a measuring point and the snow surface on the nearest runway half area under a plurality of preset angles; the runway half area is obtained by dividing the airport runway according to the central line of the section of the airport runway, a plurality of preset angles are respectively obtained based on a plurality of prefabricated points, the plurality of prefabricated points are arranged on the surface of the runway half area, the prefabricated points on the same runway half area are positioned on the same virtual arc, and the depth of the virtual arc is equal to the width of the runway half area; obtaining the snow thickness of a plurality of prefabricated points according to the first relative distance, the second relative distance, the preset angle and the actual distance; the first relative distance is the relative distance between the measuring point and the airport runway, and the second relative distance is the relative distance between the measuring point and the prefabricated point; and obtaining the snow thickness of the airfield runway according to the target demand and the snow thickness of the prefabricated points. According to the method, according to the section characteristics of the airport runway, the airport runway is divided into two symmetrical runway half areas according to the center line of the airport runway, the prefabricated points on the same virtual arc are arranged, on one hand, the prefabricated points can be matched with the measuring points to determine different corners, on the other hand, the depth of the virtual arc is equal to the width of the runway half areas, the full coverage of the width of the runway can be realized, and the snow accumulation condition of the whole runway with different thickness conditions can be effectively reflected by the data measured by the prefabricated points; because the prefabricated points are arranged on the runway half area in advance, under the cooperation of the prefabricated points, the snow thickness is measured, the distance from the measurement point to the snow surface at the prefabricated points can be obtained only by measuring the snow thickness at the prefabricated points according to the preset angle, and then the snow thickness condition corresponding to each prefabricated point can be rapidly and accurately obtained according to the existing distance information, so that the timeliness of manual ruler measurement is poor, the snow thickness condition of each part in the runway width direction can be mastered in real time, the detection accuracy of the snow thickness on the airport runway is improved, and finally the snow thickness of the airport runway is represented according to the actual demand output.
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FIG. 1 is a schematic diagram of an electronic device in a hardware operating environment according to an embodiment of the present application;
fig. 2 is a flow chart of an airport runway snow thickness obtaining method according to an embodiment of the present application;
FIG. 3 is a schematic cross-sectional view of an airport runway in the method for obtaining snow thickness of the airport runway according to the embodiment of the present application;
fig. 4 is a schematic diagram of a setting position of a measurement point in the method for obtaining the snow thickness of an airport runway according to the embodiment of the present application;
fig. 5 is a schematic diagram of setting positions of prefabricated points in the method for obtaining the snow thickness of an airport runway according to an embodiment of the present application;
fig. 6 is a schematic diagram of stripe division in the method for obtaining the snow thickness of an airport runway according to the embodiment of the present application;
fig. 7 is a schematic diagram of measuring a prefabricated point without snow in the method for obtaining the snow thickness of an airport runway according to the embodiment of the present application;
fig. 8 is a schematic diagram of measuring a prefabricated point in the case of snow in the method for obtaining the snow thickness of an airport runway according to the embodiment of the present application;
fig. 9 is a schematic diagram of a line relationship obtained by conversion according to fig. 8 in the method for obtaining the snow thickness of an airport runway according to the embodiment of the present application;
fig. 10 is a schematic diagram of an application scenario of the method for obtaining the snow thickness of an airport runway according to the embodiment of the present application;
fig. 11 is a schematic block diagram of an airport runway snow thickness acquiring device according to an embodiment of the present application;
the marks in the figure: 101-processor, 102-communication bus, 103-network interface, 104-user interface, 105-memory.
Detailed Description
It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the present application.
The main solutions of the embodiments of the present application are: the invention provides a method and a device for acquiring snow thickness of an airport runway, a storage medium and electronic equipment, wherein the method comprises the following steps: respectively acquiring the actual distance between a measuring point and the snow surface on the nearest runway half area under a plurality of preset angles; the runway half area is obtained by dividing the airport runway according to the central line of the section of the airport runway, a plurality of preset angles are respectively obtained based on a plurality of prefabricated points, the plurality of prefabricated points are arranged on the surface of the runway half area, the prefabricated points on the same runway half area are positioned on the same virtual arc, and the depth of the virtual arc is equal to the width of the runway half area; obtaining the snow thickness of a plurality of prefabricated points according to the first relative distance, the second relative distance, the preset angle and the actual distance; the first relative distance is the relative distance between the measuring point and the airport runway, and the second relative distance is the relative distance between the measuring point and the prefabricated point; and obtaining the snow thickness of the airfield runway according to the target demand and the snow thickness of the prefabricated points.
The snow thickness of the airport runway seriously affects the use efficiency of the airport runway and the operation safety of the airplane, in particular to the northern airport of China, the snow fall amount in winter is large, the snow fall time is more at night, the snow thickness detection of the airport runway at present is mostly dependent on the manual ruler detection or the experience judgment of snow removing personnel, and the non-timely snow treatment seriously affects the flight punctual rate and the airport safety operation efficiency. When the snow thickness detection data is inaccurate or not timely, a series of problems such as increased workload of equipment such as snow remover, reduced working efficiency, increased snow removing cost, untimely snow removing, tired personnel, reduced runway safety efficiency, prolonged runway downtime, reduced flight punctual rate and the like can be caused.
The detection of the snow cover artificial ruler of the airport pavement or the experience judgment of snow removing personnel has great defects. In the daytime, the runway utilization rate is high, particularly, the average arrival and departure rate is high in a large international airport, workers cannot go to the road at will for detection, and the detection of a manual ruler is impractical; the reliability is low because the experience judgment is influenced by the observation distance and personal experience. At night, a series of problems such as untimely detection exist in manual ruler detection and experience judgment of snow removing personnel, multiple times of up-road detection are needed, detection is inaccurate in snowfall period, a detection result can only represent the snow thickness at the detection moment, the length of a common runway reaches 3.6 km, the number of detection points is limited, the problem of data limitation exists, and accurate judgment on the snow thickness of the whole runway is difficult.
Because the structure of the airfield runway is special, as shown in fig. 3, the middle of the road is high, the two sides of the road are low, the road is affected by the running of the aircraft, snow generally presents the characteristics of thinness in the middle and thickness on the two sides, the automatic detection means for measuring the thickness of snow on the general horizontal road cannot be realized, and the means for detecting on the general horizontal road are generally equipment for collecting the condition of the wider road at a high place, while under the special environment of the airfield runway, the shoulder equipment of the airfield runway has the installation standard requirement, the height cannot be higher, so that the existing measurement means on the horizontal road are expected to be used for the airfield runway to have technical obstacle.
Therefore, the method and the device provide a solution, according to the section characteristics of the runway, the runway is divided into two symmetrical runway half areas for measurement, and the prefabricated points on the same virtual arc are arranged, on one hand, the prefabricated points can be matched with the measurement points to determine different corners, on the other hand, the depth of the virtual arc is equal to the width of the runway half area, the full coverage of the runway width can be realized, and the snow accumulation condition of the whole runway with different thickness conditions can be effectively reflected by the data measured by the prefabricated points; because the prefabricated points are arranged on the runway half area in advance, under the cooperation of the prefabricated points, the snow thickness is measured, the distance from the measurement point to the snow surface at the prefabricated points can be obtained only by measuring the snow thickness at the prefabricated points according to the preset angle, and then the snow thickness condition corresponding to each prefabricated point can be rapidly and accurately obtained according to the existing distance information, so that the timeliness of manual ruler measurement is poor, the snow thickness condition of each part in the runway width direction can be mastered in real time, the detection quality of the snow thickness on the airport runway is improved, and finally the snow thickness of the airport runway is represented by outputting the snow thickness according to the actual requirement.
Referring to fig. 1, fig. 1 is a schematic structural diagram of an electronic device of a hardware operating environment according to an embodiment of the present application, where the electronic device may include: a processor 101, such as a central processing unit (Central Processing Unit, CPU), a communication bus 102, a user interface 104, a network interface 103, a memory 105. Wherein the communication bus 102 is used to enable connected communication between these components. The user interface 104 may include a Display, an input unit such as a Keyboard (Keyboard), and the optional user interface 104 may also include standard wired, wireless interfaces. The network interface 103 may alternatively comprise a standard wired interface, a WIreless interface (e.g., a WIreless-FIdelity (WI-FI) interface). The Memory 105 may alternatively be a storage device independent of the foregoing processor 101, where the Memory 105 may be a high-speed random access Memory (Random Access Memory, RAM) Memory or may be a stable Non-Volatile Memory (NVM), such as at least one magnetic disk Memory; the processor 101 may be a general purpose processor including a central processing unit, a network processor, etc., as well as a digital signal processor, an application specific integrated circuit, a field programmable gate array or other programmable logic device, a discrete gate or transistor logic device, a discrete hardware component.
It will be appreciated by those skilled in the art that the structure shown in fig. 1 is not limiting of the electronic device and may include more or fewer components than shown, or may combine certain components, or may be arranged in different components.
As shown in fig. 1, the memory 105, which is a storage medium, may include an operating system, a data storage module, a network communication module, a user interface module, and an electronic program.
In the electronic device shown in fig. 1, the network interface 103 is mainly used for data communication with a network server; the user interface 104 is mainly used for data interaction with a user; the processor 101 and the memory 105 in the present application may be provided in an electronic device, where the electronic device invokes the airport runway snow thickness obtaining device stored in the memory 105 through the processor 101, and executes the airport runway snow thickness obtaining method provided in the embodiment of the present application.
Referring to fig. 2, based on the hardware device of the foregoing embodiment, an embodiment of the present application provides a method for obtaining an airport runway snow thickness, including the following steps:
s00: according to the section center line of the airfield runway, dividing the airfield runway to obtain two runway half areas symmetrical about the section center line.
In the implementation process, the section of the airfield runway is shown as figure 3 and has a symmetrical structure, so that the measurement can be divided into two runway half areas symmetrically by a central line, as shown in figures 4 and 5, the two runway half areas realize full coverage of the whole runway, and the measurement effect is improved.
S10: respectively acquiring the actual distance between a measuring point and the snow surface on the nearest runway half area under a plurality of preset angles; the runway semi-area is obtained by dividing the airport runway according to the central line of the section of the airport runway, a plurality of preset angles are respectively obtained based on a plurality of prefabricated points, the plurality of prefabricated points are arranged on the surface of the runway semi-area, the prefabricated points on the same runway semi-area are located on the same virtual arc, and the depth of the virtual arc is equal to the width of the runway semi-area.
In the implementation process, the measurement point is the point where the distance measuring equipment such as a laser distance meter is located, usually the point where the laser emits, and the position of the measurement point can be set as shown in fig. 4; the distribution of the prefabricated points is shown in fig. 5, the angle of depression and the horizontal angle of the laser range finder are matched to calibrate each prefabricated point, namely, under the condition of no snow coverage, the angle of adjustment enables the range finding equipment to sequentially measure the distance between the distance measuring equipment and the prefabricated points at the measuring points, certain fixed values are recorded, the angle of depression and the horizontal angle of each prefabricated point are used as preset angles, and the relative distance is obtained and used for subsequent calculation, and the figure 7 is a schematic diagram of measuring the prefabricated points under the condition of no snow.
Due to the existence of the preset angle, the position of the prefabricated point can be expressed as the corresponding preset angle under the condition of snow, the distance measuring equipment can obtain the actual distance between the measuring point and the snow surface on the nearest runway half area only by measuring the measuring point according to the preset angle, and the actual distance is the distance to the prefabricated point, which can be detected by the measuring point under the condition of snow coverage, as shown in fig. 8, the distance to the prefabricated point is measured under the condition of snow.
As the measuring points are arranged according to the runway half area and are respectively arranged on two sides of the runway, as shown in the figure 5, the measuring points can be symmetrically arranged on two sides of the runway, can be alternatively arranged, or are arranged in a plurality of the measuring points along the extending direction of the runway, but the purpose is the same, so that the measuring range of the distance measuring equipment can cover the width of the runway half area, namely, the measuring points are distributed according to the arc shape in order to match with the runway with arc shape change, namely, the measuring points on the measuring points are positioned on the same virtual arc on the same runway half area, the depth of the arc is equal to the width of the runway half area, and a group of relative measuring points can just realize full coverage of the whole runway width. As for the length direction of the runway, as the snow is uniform in the length direction, a part of the runway can be flexibly set according to service requirements, and can be used as a measurement basis, a plurality of measurement points can be arranged along the runway, corresponding prefabricated points are also arranged corresponding to each measurement point by adopting the means, the more the prefabricated points are, the higher the measurement accuracy is, and the prefabricated points can be uniformly distributed along the virtual circular arcs, so that the uniform full coverage of the measurement data to the width direction of the runway is ensured.
S20: obtaining the snow thickness of a plurality of prefabricated points according to the first relative distance, the second relative distance, the preset angle and the actual distance; the first relative distance is the relative distance between the measuring point and the airfield runway, and the second relative distance is the relative distance between the measuring point and the prefabricated point.
In the implementation, as shown in fig. 8, the relative distance between the measuring point and the airfield runway includes: measuring the horizontal distance d of the point from the boundary of the airport runway and the vertical distance H of the point from the boundary of the airport runway; since the horizontal angle does not participate in the calculation when measured at a single prefabricated point, the preset angle here includes only: measuring the depression angle theta 1 of the point; the distance between the measuring point and the prefabricated point is L; the actual distance is then L1, and the aim is to obtain the snow thickness H1 of the prefabricated spot.
Specifically, according to the first relative distance, the second relative distance, the preset angle and the actual distance, the snow thickness of a plurality of prefabricated points is obtained, including:
according to the horizontal distance between the measuring point and the boundary of the airport runway, the vertical distance between the measuring point and the boundary of the airport runway, the preset angle, the second relative distance and the actual distance, the snow thickness of a plurality of prefabricated points is calculated by adopting the following formula:
Figure SMS_3
wherein H1 is the snow thickness of the prefabricated point, L is the distance between the measuring point and the prefabricated point, L1 is the actual distance, H is the vertical distance between the measuring point and the boundary line of the airport runway, d is the horizontal distance between the measuring point and the boundary line of the airport runway, and theta 1 is the depression angle of the measuring point.
In the specific implementation process, after the structural schematic diagram in the measurement shown in fig. 8 is converted into a line relation, as shown in fig. 9, H2 and L2 can be calculated, where:
Figure SMS_4
Figure SMS_5
according to the similarity theorem, it is possible to obtain:
Figure SMS_6
the above equation is modified in conjunction with the above calculation equation, namely:
Figure SMS_7
in the above formula, L, L, H, d and θ1 are all known amounts, and H1, that is, the snow thickness of the prefabricated spot can be calculated.
S30: and obtaining the snow thickness of the airfield runway according to the target demand and the snow thickness of the prefabricated points.
In the implementation process, the target requirement is a data requirement formulated by an airport according to the requirement, and because the runway of the airport is not horizontal and the road monitoring requirement of the airport is different from that of a common roadside, the snow condition of which road section is output or the snow condition of each position in the longitudinal direction of the runway can be specified under the normal condition so as to guide the snow cleaning work.
In one embodiment, the method for obtaining the snow thickness of the airfield runway according to the target demand and the snow thickness of the prefabricated spot comprises the following steps:
dividing the strips in the width direction of the airport runway and parallel to the central line of the airport runway to obtain a plurality of parallel strips.
In the specific implementation process, the snow accumulation condition in the length direction of the runway is generally uniform, so that targets are required to be formulated in the width direction of the runway, the runway is divided into a plurality of parallel strips in the width direction according to the requirements, and the snow accumulation data of the runway are more visual and real; the more stripes are divided, the closer the output data is to the true value, as shown in fig. 6, which is the case of dividing into five stripes.
A target strip of the airport runway is determined from the strips according to the target demand.
In the specific implementation process, in the case of dividing the strips in this embodiment, the target needs to obtain the snow thickness on the target strip of the airport runway, that is, the snow condition of one of all the strips or multiple strips needs to be specified to be output.
And obtaining the snow thickness of all prefabricated points on the target strip according to the target requirement of obtaining the snow thickness on the target strip of the airport runway.
And obtaining the snow thickness of the target strip of the airfield runway according to the average value of the snow thickness of all the prefabricated points on the target strip.
In the specific implementation process, due to the structural characteristics of the airport runway, the thickness of the snow is gradually changed in the width direction, and in order to determine that a representative value can represent the snow condition in the whole strip, the data of the snow thickness of all the prefabricated points in the strip are extracted firstly, and then all the values are averaged to be used as the snow thickness of the strip where the representative value is located.
According to the section characteristics of the airport runway, the airport runway is divided into two symmetrical runway half areas according to the central line of the runway to be measured, and the prefabricated points on the same virtual arc are arranged, so that on one hand, the prefabricated points can be matched with the measuring points to determine different corners, on the other hand, the depth of the virtual arc is equal to the width of the runway half areas, the full coverage of the width of the runway can be realized, and the snow accumulation condition of the whole runway with different thickness conditions can be effectively reflected by the data measured by the prefabricated points; because the prefabricated points are arranged on the runway half area in advance, under the cooperation of the prefabricated points, the snow thickness is measured, the distance from the measurement point to the snow surface at the prefabricated points can be obtained only by measuring the snow thickness at the prefabricated points according to the preset angle, and then the snow thickness condition corresponding to each prefabricated point can be rapidly and accurately obtained according to the existing distance information, so that the timeliness of manual ruler measurement is poor, the snow thickness condition of each part in the runway width direction can be mastered in real time, the detection accuracy of the snow thickness on the airport runway is improved, and finally the snow thickness of the airport runway is represented according to the actual demand output.
The application is further described below with reference to the accompanying drawings:
as shown in figure 4, the laser ranging equipment is arranged at the position of the runway shoulder at intervals of 60 meters in a straight line, is arranged at the 400mm position at the inner side of the vertical runway edge light of the runway shoulder, and adopts a foldable piece support to reduce the installation height and meet the installation specification of the runway shoulder equipment of the airport. The method has the advantages of high data authenticity, long distance, high ranging precision, strong anti-interference performance and high detection instantaneity, and does not need to stop the navigation and go up the road for detection.
As shown in fig. 5, taking a runway width of 45 meters as an example, the single device longitudinal detection distance is up to 22.5 meters, and the runway interface can be divided into five strips as shown in fig. 6 in the software deployment process.
As shown in fig. 7, the laser ranging equipment bracket comprises a horizontal turntable and a pitching turntable, the equipment is vertically installed, and the parabolic coverage of a laser ranging point on a runway is realized by adjusting the included angle theta 1 and the horizontal angle theta 2 between a laser beam and an absolute horizontal reference line through adjusting the pitching turntable and the horizontal turntable.
In the application scenario shown in fig. 10, the laser ranging device is mainly responsible for detecting the effective distance between the measuring point and the runway prefabricated point, transmitting the data to the algorithm server in real time, and the algorithm server calculates the snow thickness parameter of the prefabricated point by executing the method of the application and transmits the snow thickness parameter to the control and processing software in real time, wherein the data transmission adopts a TCP/IP transmission control protocol, and the real-time data are further provided for airport staff and an airport runway snow removal management platform.
By adopting the method to measure the snow accumulation condition of the runway under different irradiation conditions at a certain time point, the measurement result is compared with the actual thickness, and the following table shows:
Figure SMS_8
it is clear that the method is not limited by runway operation and night, can be measured at any time according to the requirements of airport business departments, has high measurement precision, is subjected to field test, has a measurement precision controlled within a 3mm error range, has a wide measurement range, can be used for carrying out regional and sectional measurement on the runway, has more accurate measurement data, can effectively improve the working efficiency of airport snow removal, shortens the time of airport snow removal, reduces the snow removal cost, improves the runway safety, improves the flight punctuation rate of the airport, and the like, and greatly improves the detection quality of snow thickness on the airport runway.
Referring to fig. 11, based on the same inventive concept as in the previous embodiments, an embodiment of the present application further provides an airport runway snow thickness obtaining device, which includes:
the distance acquisition module is used for respectively acquiring the actual distance between the measuring point and the snow surface on the nearest runway half area under a plurality of preset angles; the runway half area is obtained by dividing the airport runway according to the central line of the section of the airport runway, a plurality of preset angles are respectively obtained based on a plurality of prefabricated points, the plurality of prefabricated points are arranged on the surface of the runway half area, the prefabricated points on the same runway half area are positioned on the same virtual arc, and the depth of the virtual arc is equal to the width of the runway half area;
the first snow thickness acquisition module is used for acquiring snow thickness of a plurality of prefabricated points according to the first relative distance, the second relative distance, the preset angle and the actual distance; the first relative distance is the relative distance between the measuring point and the airport runway, and the second relative distance is the relative distance between the measuring point and the prefabricated point;
the second snow thickness acquisition module is used for obtaining the snow thickness of the airfield runway according to the snow thickness of the target demand and the prefabricated points.
It should be understood by those skilled in the art that the division of each module in the embodiment is merely a division of a logic function, and may be fully or partially integrated on one or more actual carriers in practical application, and the modules may be fully implemented in a form of software called by a processing unit, or may be fully implemented in a form of hardware, or may be implemented in a form of combining software and hardware, and it should be noted that each module in the airport runway snow thickness acquiring device in the embodiment is in one-to-one correspondence with each step in the airport runway snow thickness acquiring method in the foregoing embodiment, so that a specific implementation of the embodiment may refer to an implementation of the foregoing airport runway snow thickness acquiring method, and will not be repeated herein.
Based on the same inventive concept as in the previous embodiments, embodiments of the present application further provide a computer readable storage medium storing a computer program, which when loaded and executed by a processor, implements the method for obtaining the snow thickness of the airfield runway according to the embodiments of the present application.
Based on the same inventive concepts as in the previous embodiments, embodiments of the present application also provide an electronic device, including a processor and a memory, wherein,
the memory is used for storing a computer program;
the processor is used for loading and executing the computer program so as to enable the electronic equipment to execute the airport runway snow thickness acquisition method provided by the embodiment of the application.
In some embodiments, the computer readable storage medium may be FRAM, ROM, PROM, EPROM, EEPROM, flash memory, magnetic surface memory, optical disk, or CD-ROM; but may be a variety of devices including one or any combination of the above memories. The computer may be a variety of computing devices including smart terminals and servers.
In some embodiments, the executable instructions may be in the form of programs, software modules, scripts, or code, written in any form of programming language (including compiled or interpreted languages, or declarative or procedural languages), and they may be deployed in any form, including as stand-alone programs or as modules, components, subroutines, or other units suitable for use in a computing environment.
As an example, the executable instructions may, but need not, correspond to files in a file system, may be stored as part of a file that holds other programs or data, for example, in one or more scripts in a hypertext markup language (HTML, hyper Text Markup Language) document, in a single file dedicated to the program in question, or in multiple coordinated files (e.g., files that store one or more modules, sub-programs, or portions of code).
As an example, executable instructions may be deployed to be executed on one computing device or on multiple computing devices located at one site or, alternatively, distributed across multiple sites and interconnected by a communication network.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
The foregoing embodiment numbers of the present application are merely for describing, and do not represent advantages or disadvantages of the embodiments.
From the above description of embodiments, it will be clear to a person skilled in the art that the above embodiment method may be implemented by means of software plus a necessary general hardware platform, but may of course also be implemented by means of hardware, but in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art in the form of a software product stored in a storage medium (e.g. read-only memory/random-access memory, magnetic disk, optical disk), comprising several instructions for causing a multimedia terminal device (which may be a mobile phone, a computer, a television receiver, or a network device, etc.) to perform the method described in the embodiments of the present application.
To sum up, the method, the device, the storage medium and the electronic equipment for acquiring the snow thickness of the airfield runway provided by the application comprise the following steps: respectively acquiring the actual distance between a measuring point and the snow surface on the nearest runway half area under a plurality of preset angles; the runway half area is obtained by dividing the airport runway according to the central line of the section of the airport runway, a plurality of preset angles are respectively obtained based on a plurality of prefabricated points, the plurality of prefabricated points are arranged on the surface of the runway half area, the prefabricated points on the same runway half area are positioned on the same virtual arc, and the depth of the virtual arc is equal to the width of the runway half area; obtaining the snow thickness of a plurality of prefabricated points according to the first relative distance, the second relative distance, the preset angle and the actual distance; the first relative distance is the relative distance between the measuring point and the airport runway, and the second relative distance is the relative distance between the measuring point and the prefabricated point; and obtaining the snow thickness of the airfield runway according to the target demand and the snow thickness of the prefabricated points. According to the method, according to the section characteristics of the airport runway, the airport runway is divided into two symmetrical runway half areas according to the center line of the airport runway, the prefabricated points on the same virtual arc are arranged, on one hand, the prefabricated points can be matched with the measuring points to determine different corners, on the other hand, the depth of the virtual arc is equal to the width of the runway half areas, the full coverage of the width of the runway can be realized, and the snow accumulation condition of the whole runway with different thickness conditions can be effectively reflected by the data measured by the prefabricated points; because the prefabricated points are arranged on the runway half area in advance, under the cooperation of the prefabricated points, the snow thickness is measured, the distance from the measurement point to the snow surface at the prefabricated points can be obtained only by measuring the snow thickness at the prefabricated points according to the preset angle, and then the snow thickness condition corresponding to each prefabricated point can be rapidly and accurately obtained according to the existing distance information, so that the timeliness of manual ruler measurement is poor, the snow thickness condition of each part in the runway width direction can be mastered in real time, the detection accuracy of the snow thickness on the airport runway is improved, and finally the snow thickness of the airport runway is represented according to the actual demand output.
The foregoing description of the preferred embodiments of the present application is not intended to limit the invention to the particular embodiments of the present application, but to limit the scope of the invention to the particular embodiments of the present application.

Claims (8)

1. The method for obtaining the snow thickness of the airfield runway is characterized by comprising the following steps of:
respectively acquiring the actual distance between a measuring point and the snow surface on the nearest runway half area under a plurality of preset angles; the runway half area is obtained by dividing the airport runway according to the section central line of the airport runway, a plurality of preset angles are respectively obtained based on a plurality of prefabricated points, the plurality of prefabricated points are arranged on the surface of the runway half area, the prefabricated points on the same runway half area are positioned on the same virtual circular arc, and the depth of the virtual circular arc is equal to the width of the runway half area;
obtaining the snow thickness of a plurality of prefabricated points according to the first relative distance, the second relative distance, the preset angle and the actual distance; wherein the first relative distance is the relative distance between the measuring point and the airport runway, and the second relative distance is the relative distance between the measuring point and the prefabricated point;
wherein the first relative distance comprises: a horizontal distance of the measuring point from the boundary of the airport runway and a vertical distance of the measuring point from the boundary of the airport runway; the preset angle includes: a depression angle of the measurement point;
the step of obtaining the snow thickness of the plurality of prefabricated points according to the first relative distance, the second relative distance, the preset angle and the actual distance comprises the following steps:
according to the horizontal distance between the measuring point and the boundary of the airport runway, the vertical distance between the measuring point and the boundary of the airport runway, the preset angle, the second relative distance and the actual distance, the snow thickness of a plurality of prefabricated points is calculated by adopting the following formula:
Figure QLYQS_1
wherein H1 is the snow thickness of the prefabricated point, L is the relative distance between the measuring point and the prefabricated point, L1 is the actual distance, H is the vertical distance between the measuring point and the boundary line of the airport runway, d is the horizontal distance between the measuring point and the boundary line of the airport runway, and theta 1 is the depression angle of the measuring point;
and obtaining the snow thickness of the airport runway according to the target demand and the snow thickness of the prefabricated points.
2. The method for obtaining the snow thickness of the runway according to claim 1, wherein before obtaining the actual distance between the measuring point and the snow surface on the nearest runway half at a plurality of preset angles, respectively, the method for obtaining the snow thickness of the runway further comprises:
dividing the airport runway according to the section central line of the airport runway, and obtaining two runway half areas symmetrical about the section central line.
3. The method for obtaining the snow thickness of the airport runway according to claim 1, wherein the step of obtaining the snow thickness of the airport runway according to the target demand and the snow thickness of the prefabricated points comprises the steps of:
according to the target requirement for obtaining the snow thickness on the target strip of the airport runway, obtaining the snow thickness of all the prefabricated points on the target strip;
and obtaining the snow thickness of the target strip of the airport runway according to the average value of the snow thickness of all the prefabricated points on the target strip.
4. An airport runway snow thickness acquisition method according to claim 3, wherein said airport runway snow thickness acquisition method further comprises, prior to obtaining the snow thickness of all of said prefabricated points on said target strip, in accordance with said target demand for obtaining the snow thickness on said target strip of said airport runway:
dividing the airport runway in the width direction and parallel to the central line of the airport runway to obtain a plurality of parallel strips;
and determining a target strip of the airport runway in the strips according to the target requirements.
5. The method for obtaining the snow thickness of an airport runway according to claim 1, characterized in that a plurality of said prefabricated points are uniformly distributed along said virtual circular arc.
6. An airport runway snow thickness acquisition device, characterized by comprising:
the distance acquisition module is used for respectively acquiring the actual distance between the measuring point and the snow surface on the nearest runway half area under a plurality of preset angles; the runway half area is obtained by dividing the airport runway according to the section central line of the airport runway, a plurality of preset angles are respectively obtained based on a plurality of prefabricated points, the plurality of prefabricated points are arranged on the surface of the runway half area, the prefabricated points on the same runway half area are positioned on the same virtual circular arc, and the depth of the virtual circular arc is equal to the width of the runway half area;
the first snow thickness acquisition module is used for acquiring the snow thickness of a plurality of prefabricated points according to a first relative distance, a second relative distance, the preset angle and the actual distance; wherein the first relative distance is the relative distance between the measuring point and the airport runway, and the second relative distance is the relative distance between the measuring point and the prefabricated point;
wherein the first relative distance comprises: a horizontal distance of the measuring point from the boundary of the airport runway and a vertical distance of the measuring point from the boundary of the airport runway; the preset angle includes: a depression angle of the measurement point;
the step of obtaining the snow thickness of the plurality of prefabricated points according to the first relative distance, the second relative distance, the preset angle and the actual distance comprises the following steps:
according to the horizontal distance between the measuring point and the boundary of the airport runway, the vertical distance between the measuring point and the boundary of the airport runway, the preset angle, the second relative distance and the actual distance, the snow thickness of a plurality of prefabricated points is calculated by adopting the following formula:
Figure QLYQS_2
wherein H1 is the snow thickness of the prefabricated point, L is the relative distance between the measuring point and the prefabricated point, L1 is the actual distance, H is the vertical distance between the measuring point and the boundary line of the airport runway, d is the horizontal distance between the measuring point and the boundary line of the airport runway, and theta 1 is the depression angle of the measuring point;
the second snow thickness acquisition module is used for acquiring the snow thickness of the airport runway according to the target demand and the snow thickness of the prefabricated points.
7. A computer readable storage medium storing a computer program, wherein the computer program, when loaded and executed by a processor, implements the method for obtaining snow thickness of an airfield runway according to any one of claims 1-5.
8. An electronic device comprising a processor and a memory, wherein,
the memory is used for storing a computer program;
the processor is configured to load and execute the computer program to cause the electronic device to perform the airport runway snow thickness acquisition method of any of claims 1-5.
CN202310434857.3A 2023-04-21 2023-04-21 Airport runway snow thickness acquisition method and device, storage medium and electronic equipment Active CN116147512B (en)

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